Top Remote Data Engineer Jobs in San Diego, CA
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
As a Technical Product Manager at Stack Overflow, you'll lead initiatives within the Data Team, focusing on enhancing search performance through Machine Learning and Natural Language Processing. You'll work collaboratively with Data Scientists and Engineers to leverage unique data insights to improve developer experiences and product offerings.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
As a Senior Data Engineer at Flex, you will design and maintain high-quality data infrastructure services, create scalable data pipelines, manage a secure data warehouse, and collaborate closely with the Analytics team. Your role will involve enhancing data operations and supporting financial products with modern data solutions.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
As a Principal Data Engineer, you will lead data engineering initiatives, architect integrated data platforms, maintain ETL pipelines, and utilize AWS services. Collaborating with various teams, you will ensure data efficiency and regulatory compliance while mentoring fellow engineers and optimizing data processes using advanced statistical methods and technologies like Docker, Snowflake, and Spark.
The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.
The Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.
Top remote Companies in San Diego, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
